Special Issue "Remote Sensing of Arid/Semiarid Lands II"
Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 5140
2. Department of Photogrammetry and Remote Sensing, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran
Interests: ecosystem monitoring; vegetation health; time series remote sensing; LiDAR
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Interests: geoinformatics on wildland fires; natural disasters and landscape ecology; applied multivariate methods, geostatistics and point pattern analysis with special emphasis on spatio-temporal analysis of wildland fire ignition points; positional uncertainty and data modeling
Special Issues, Collections and Topics in MDPI journals
This is the 2nd volume of the Special Issue “Remote Sensing of Arid/Semiarid Lands”, it was a great success.
Recent publication trends reveal the continuous progress in the application of remote sensing and Earth observation approaches for semi-arid vegetation monitoring. Many previous surveys were conducted based on the fundamental assumption that drought and other extreme climate events affect the ecological environment for vegetation in semi-arid zones, yet with a response lag of vegetation to drought that differs from ecosystem to ecosystem. Phenomena like changing patterns in soil use, natural disasters, climatic change and wildfires alter the spatial dynamics of arid and semi-arid vegetation.
Amongst the remote sensing methods and despite their inherent intuition, vegetation index-based approaches are still advantageous given their simple calculation and intuitive interpretability. In particular, permanent sample plots established within semi-arid regions could offer excellent locations for long-term and mostly remote-sensing-based spectral trajectory analysis of
Vegetation. Furthermore, approaches based on vegetation phenology could also provide invaluable insights for the trajectory analysis of semi-arid vegetation, which have so far been largely understudied, and remote-sensing-assisted phenological investigations seem to be lacking for semi-arid regions.
In addition, spatiotemporal image-fusion approaches have experienced rapid progress for various remote-sensing applications in recent decades as a constantly growing field of
research, which calls for their augmented applications across arid and semi-arid vegetation zones. Finally, approaches based on new technologies like UAVs, terrestrial and mobile laser scanners (for small-scale quantification and monitoring) as well as large-scale applications via new satellite data series (in active and passive domains) are required to be calibrated for arid and semi-arid vegetation, in particular across remote and mountainous areas.
In this Special Issue, we aim to cover those and other relevant topics and sub-topics by welcoming reviews, case studies and communications from all over the world. In particular, we welcome submissions with the following thematic emphases:
- Remote sensing applications for soil erosion monitoring across arid and semi-arid areas;
- Applications for spatial extrapolations and upscaling from plant to plant groups and landscapes;
- Approaches for pest, disease and decline monitoring across arid and semi-arid natural vegetation;
- Applications based on terrestrial platforms (TLS, iPhone, GeoSLAM etc.) for small-scale vegetation monitoring across arid and semi-arid regions;
- Applications for estimating growing stock, woody biomass and bioenergy across arid and semi-arid trees;
- Species distribution mapping and monitoring;
- Approaches to overcome challenges faced when processing remote sensing data sources like soil background reflectance, atmospheric effects, shadows and grouped tree crowns in coppice structures;
- Spatial and temporal forests change modelling across arid and semi-arid areas;
- Defining and modelling ecosystem services of arid and semi-arid woodlands;
- Assessing the impact of climate change on arid and semi-arid vegetation.
Dr. Hooman Latifi
Dr. Nikos Koutsias
Dr. Hamed Naghavi
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- arid woody vegetation
- semi-arid woody vegetation
- remote sensing
- UAV photogrammetry
- coppice structure
- burned area mapping
- tree detection and delineation
- spatial ecology